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Towards Mathematics, Computers and Environment: A Disasters Perspective

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Cover of 'Towards Mathematics, Computers and Environment: A Disasters Perspective'

Table of Contents

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    Book Overview
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    Chapter 1 An Overview of the El Niño, La Niña, and the Southern Oscillation Phenomena: Theory, Observations, and Modeling Links
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    Chapter 2 Observation, Theory, and Numerical Modeling: Atmospheric Teleconnections Leading to Generalized Frosts over Southeast South America
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    Chapter 3 Balances in the Atmosphere and Ocean: Implications for Forecasting and Reliability
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    Chapter 4 Pollutant Dispersion Modeling via Mathematical Homogenization and Integral Transform-Based Multilayer Methods
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    Chapter 5 Data Mining Approaches to the Real-Time Monitoring and Early Warning of Convective Weather Using Lightning Data
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    Chapter 6 Methodological Proposal for the Prediction of Hydrological Responses to Land-Uses and Land-Cover Changes in a Brazilian Watershed
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    Chapter 7 Computational Modeling and Simulation of Surface Waterflood in Mountainous Urban Watersheds with the MOHID Platform: Case Study Nova Friburgo, Brazil
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    Chapter 8 Applied Time Series—Natural Disasters Perspective of Use: Landslide and Flood
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    Chapter 9 Bayesian Analysis of the Disaster Damage in Brazil
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    Chapter 10 About Interfaces Between Machine Learning, Complex Networks, Survivability Analysis, and Disaster Risk Reduction
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    Chapter 11 Digital Humanities and Big Microdata: New Approaches for Demographic Research
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    Chapter 12 Modeling Social and Geopolitical Disasters as Extreme Events: A Case Study Considering the Complex Dynamics of International Armed Conflicts
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Title
Towards Mathematics, Computers and Environment: A Disasters Perspective
Published by
Springer International Publishing, October 2019
DOI 10.1007/978-3-030-21205-6
ISBNs
978-3-03-021204-9, 978-3-03-021205-6
Editors

Bacelar Lima Santos, Leonardo, Galante Negri, Rogério, de Carvalho, Tiago José

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 25%
Unspecified 1 13%
Professor 1 13%
Lecturer 1 13%
Student > Ph. D. Student 1 13%
Other 1 13%
Unknown 1 13%
Readers by discipline Count As %
Engineering 2 25%
Unspecified 1 13%
Business, Management and Accounting 1 13%
Environmental Science 1 13%
Earth and Planetary Sciences 1 13%
Other 1 13%
Unknown 1 13%